Self-adapting software for numerical linear algebra library routines on clusters

Zizhong Chen; Jack Dongarra; Piotr Luszczek; Kenneth Roche

doi:10.1007/3-540-44863-2_65

Self-adapting software for numerical linear algebra library routines on clusters

Zizhong Chen, Jack Dongarra, Piotr Luszczek, Kenneth Roche

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This article describes the context, design, and recent development of the LAPACK for Clusters (LFC) project. It has been developed in the framework of Self-Adapting Numerical Software (SANS) since we believe such an approach can deliver the convenience and ease of use of existing sequential environments bundled with the power and versatility of highly-tuned parallel codes that execute on clusters. Accomplishing this task is far from trivial as we argue in the paper by presenting pertinent case studies and possible usage scenarios.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Peter M.A. Sloot, David Abramson, Alexander V. Bogdanov, Yuriy E. Gorbachev, Jack J. Dongarra, Albert Y. Zomaya
Publisher	Springer Verlag
Pages	665-672
Number of pages	8
ISBN (Print)	9783540401964
DOIs	https://doi.org/10.1007/3-540-44863-2_65
State	Published - 2003
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2659
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Funding

We wish to thank the Ohio Supercomputing Center (OSC), the Computational Science and Mathematics Division at Oak Ridge National Laboratory (XTORC cluster), the Center for Computational Sciences at Oak Ridge National Laboratory (Cheetah, Eagle), the Dolphin donation cluster (part of the SinRG program at the University of Tennessee Knoxville), the San Diego Supercomputing Center (SDSC), and the National Energy Research Scientific Computing Center (NERSC) for research conducted on their resources. We also wish to thank NPACI, the National Partnership for the Advancement of Computational Infrastrucure, for including LFC in its NPACkage.

Funders	Funder number
Dolphin donation cluster
NERSC
National Energy Research Scientific Computing Center
SDSC
San Diego Supercomputing Center
Oak Ridge National Laboratory
Center for Computational Sciences, University of Kentucky
University of Tennessee, Knoxville

Access to Document

10.1007/3-540-44863-2_65

Cite this

Chen, Z., Dongarra, J., Luszczek, P., & Roche, K. (2003). Self-adapting software for numerical linear algebra library routines on clusters. In P. M. A. Sloot, D. Abramson, A. V. Bogdanov, Y. E. Gorbachev, J. J. Dongarra, & A. Y. Zomaya (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 665-672). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2659). Springer Verlag. https://doi.org/10.1007/3-540-44863-2_65

Chen, Zizhong ; Dongarra, Jack ; Luszczek, Piotr et al. / Self-adapting software for numerical linear algebra library routines on clusters. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Peter M.A. Sloot ; David Abramson ; Alexander V. Bogdanov ; Yuriy E. Gorbachev ; Jack J. Dongarra ; Albert Y. Zomaya. Springer Verlag, 2003. pp. 665-672 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Chen, Z, Dongarra, J, Luszczek, P & Roche, K 2003, Self-adapting software for numerical linear algebra library routines on clusters. in PMA Sloot, D Abramson, AV Bogdanov, YE Gorbachev, JJ Dongarra & AY Zomaya (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2659, Springer Verlag, pp. 665-672. https://doi.org/10.1007/3-540-44863-2_65

Self-adapting software for numerical linear algebra library routines on clusters. / Chen, Zizhong; Dongarra, Jack; Luszczek, Piotr et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Peter M.A. Sloot; David Abramson; Alexander V. Bogdanov; Yuriy E. Gorbachev; Jack J. Dongarra; Albert Y. Zomaya. Springer Verlag, 2003. p. 665-672 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2659).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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Chen Z, Dongarra J, Luszczek P, Roche K. Self-adapting software for numerical linear algebra library routines on clusters. In Sloot PMA, Abramson D, Bogdanov AV, Gorbachev YE, Dongarra JJ, Zomaya AY, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2003. p. 665-672. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-44863-2_65

Self-adapting software for numerical linear algebra library routines on clusters

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